Triple
T35281418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sub 37 |
E1018942
|
entity |
| Predicate | hasParaphonicMode |
P201019
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Sub 37, hasParaphonicMode, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParaphonicMode Context triple: [Sub 37, hasParaphonicMode, true]
-
A.
isMonophonic
Indicates that something consists of a single melodic line or voice, without simultaneous independent melodic parts.
-
B.
hasSpeechMode
Indicates that an entity is associated with, or operates using, a particular mode or style of speech or vocal communication.
-
C.
hasPhoneme
Indicates that a linguistic unit (such as a word or morpheme) contains or includes a particular phoneme as part of its sound structure.
-
D.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
-
E.
hasToneFunction
Indicates that one entity serves a specific tonal or harmonic function in relation to another entity within a musical context.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffc1550cb481908628e446d9b67f7b |
completed | May 9, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69ffc10a74708190ae90e2c378791f70 |
completed | May 9, 2026, 11:19 p.m. |
| PDg | Predicate description generation | batch_69ffc15434c8819093aa3b33813613be |
completed | May 9, 2026, 11:20 p.m. |
Created at: May 3, 2026, 4:03 p.m.